SightXR: Visualization-First Analysis for AI

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San Francisco, California Dec 21, 2023 ( – Introducing SightXR from Kineviz, an Artificial Intelligence tool designed to transform the way professionals across various sectors–including investigations, legal services, and insurance–manage and interpret text-based information at scale.

SightXR applies Kineviz’ visualization-first methodology to AI, enabling users to analyze a single file or a 10,000-document corpus in a few clicks. SightXR provides a visual knowledge map to navigate through large volumes of text, offering clear, concise insights where traditional text summaries fall short.

Key Features of SightXR:

  • Visualization Driven: SightXR’s core feature is its ability to convert extensive text data into visual maps, making key connections in complex information easily understandable at a glance.
  • Scalable Analysis: Whether it’s a single document or a vast database, SightXR maintains a consistent level of precision and efficiency to save users hundreds of hours typically spent in reading and analysis.
  • Reliable Specifics: Unlike conventional text summaries that often provide vague conclusions, SightXR delivers verifiable insights linked directly to the relevant source material.

“SightXR is a pragmatic application of AI,” says Kineviz CEO Weidong Yang. “Our aim is to solve the very real problems of professionals with limited time to make sense of overflowing information. With SightXR, anyone can quickly find the insight they need to make decisions with confidence.”

SightXR is poised to save hundreds of hours for professionals in law enforcement, litigation, finance, and other sectors where extensive text analysis is crucial. Its ability to provide a live visual overview and detailed specifics simultaneously ensures that no critical information is missed, thus enhancing the accuracy and reliability of the professional’s work.

For more information about SightXR and to schedule a demo, please visit

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Source :Kineviz

This article was originally published by IssueWire. Read the original article here.

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